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Fill in your basic, education & work experience-related details and pay the application fee to register.
An MCA in AI & ML is a specialized postgraduate study which integrates the deep understanding of computer applications with the most cutting-edge innovations like artificial intelligence, machine learning, data science, and automation.
| Category | Description |
|---|---|
| Description | A two-year postgraduate program focused on Artificial Intelligence and Machine Learning, designed to equip learners with expertise in intelligent systems, data-driven technologies, automation, predictive analytics, and advanced computing applications across industries. |
| Career Prospects | Sectors: IT Companies, Healthcare, Finance, E-commerce, EdTech, Cybersecurity, Robotics, Automotive, and Consulting Firms. Roles: AI Engineer, Machine Learning Engineer, Data Scientist, AI Research Analyst, Business Intelligence Analyst, NLP Engineer, Robotics Specialist, and Software Developer. |
| Reasons to Pursue | High industry demand, future-ready career opportunities, strong salary potential, innovation-driven roles, exposure to emerging technologies, problem-solving expertise, and opportunities in global tech industries. |
| Curriculum | Artificial Intelligence, Machine Learning Algorithms, Deep Learning, Data Science, Python Programming, Neural Networks, Natural Language Processing, Big Data Analytics, Cloud Computing, and Computer Vision. |
| Eligibility Criteria | A bachelor’s degree from a recognized university, preferably in Computer Applications, Computer Science, IT, Engineering, or related fields, is generally required for admission. |
Here are some of the key skills learners can gain through an MCA in AI & ML program.
| Skill | What You'll Learn |
|---|---|
| Machine Learning Algorithms | Learn how machines analyze data, identify patterns, and make predictions using supervised and unsupervised learning techniques. |
| Programming & Development | Build expertise in programming languages like Python, data structures, algorithms, and AI model development. |
| Data Science & Analytics | Understand data collection, cleaning, visualization, and analysis to generate actionable insights from large datasets. |
| Deep Learning & Neural Networks | Gain knowledge of neural networks, deep learning models, and AI systems used in speech recognition, image processing, and automation. |
| Natural Language Processing (NLP) | Learn how AI understands, processes, and generates human language for applications like chatbots and virtual assistants. |
| Computer Vision | Explore image recognition, object detection, and visual data processing used in healthcare, security, and autonomous systems. |
| AI Problem-Solving & Decision-Making | Develop analytical thinking and problem-solving skills to create intelligent systems that support business and technological decisions. |
Check the eligibility criteria for Online MCA in AI & ML programs. Learners can analyze academic qualifications, admission requirements, and program expectations to identify the right course that corresponds with their career goals in artificial intelligence and machine learning.
Educational qualification
Candidates must have completed 10+2+3-year bachelor’s degree in Computer Applications/Computer Science/Information Technology from a recognized university/institution, or an equivalent qualification as recognized by the Association of Indian Universities (AIU) or other competent bodies Candidates who have completed 10+2+3-year bachelor’s degree from other streams like Science, Business Administration, Business Management, Arts & Humanities, Commerce, etc. are also eligible for MCA admission but they have to attend and complete a compulsory bridge course in fundamentals of computer and IT along with their Semester 1 courses. Additionally, candidates who have not studied mathematics during their 10 + 2/ bachelor’s degree programs must attend and complete a compulsory bridge course in mathematics along with other semester 1 courses.
Grades
Candidates must have a minimum of 50% marks in aggregate in graduation (45% for reserved categories).
Educational qualification
Candidates must have completed 10+2+3-year bachelor’s degree in Computer Applications/Computer Science/Information Technology from a recognized university/institution, or an equivalent qualification as recognized by the Association of Indian Universities (AIU) or other competent bodies Candidates who have completed 10+2+3-year bachelor’s degree from other streams like Science, Business Administration, Business Management, Arts & Humanities, Commerce, etc. are also eligible for MCA admission but they have to attend and complete a compulsory bridge course in fundamentals of computer and IT along with their Semester 1 courses. Additionally, candidates who have not studied mathematics during their 10 + 2/ bachelor’s degree programs must attend and complete a compulsory bridge course in mathematics along with other semester 1 courses.
Grades
Candidates must have a minimum of 50% marks in aggregate in graduation (45% for reserved categories).
The AI & ML program syllabus aims at building a strong foundation in computer applications and exposes the learners to advanced technologies that would shape their future. It combines theoretical concepts, practical projects, and industry-related tools to equip learners for AI-driven roles.
Full Fee Payment
10% discount
Annual Fee Payment
10% discount
Semester Fee Payment
10% discount
No-cost EMI Starting
18/12/6-month tenure
An additional non-refundable application fee of INR 500 is to be paid at the time of admission
Learners opting for a loan or financing will not be eligible for any additional discounts or offers.
Full Fee Payment
10% discount
Annual Fee Payment
10% discount
Semester Fee Payment
10% discount
No-cost EMI Starting
12/6-month tenure
An additional non-refundable application fee of INR 500 is to be paid at the time of admission
Learners opting for a loan or financing will not be eligible for any additional discounts or offers.
Fill in your basic, education & work experience-related details and pay the application fee to register.
Pay the admission fee for the first semester/year or full program.
Upload supporting documents & submit your application.
The university will evaluate your documents to confirm your admission.
Our Online MCA program is carefully designed to fit the busy schedules of both recently graduated students alongside individuals who are employed. By putting up live sessions during the weekend, we make sure that students can work toward higher academic success without having to give up their jobs. The table below outlines the specific time allocation and duration required for this comprehensive educational engagement.
Through extensive MCA projects, the program combines theoretical understanding with real-world applications. These final projects are meant to help students deal with genuine business problems, showing that they are good at strategy and leadership in their fields. This practical part makes sure that graduates have the real-world experience they need to be successful as executives.
| Project Objective | Project Selection & Evaluation Process | |||||
|---|---|---|---|---|---|---|
| 1. To make learners industry ready. |
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| 2. To enable learners to apply the knowledge in handling and completing the project work in their area and interest. | ||||||
| 3. To prepare learners as Programmers, Systems Analysts, Systems Designers etc. in the field related to computer science and information technology. |
Given below is a table that lists the career opportunities after an Online MCA in AI & ML.
| Career Role | Job Description |
|---|---|
| AI Engineer | Develop, train, and deploy AI models and intelligent systems that automate tasks, improve decision-making, and solve complex business problems. |
| Machine Learning Engineer | Design and implement machine learning algorithms, optimize predictive models, and manage large datasets for real-world applications. |
| Data Scientist | Analyze structured and unstructured data, generate insights, build predictive models, and support data-driven business strategies. |
| NLP Engineer | Develop systems that enable machines to understand and process human language for applications like chatbots, translation tools, and virtual assistants. |
| Computer Vision Engineer | Build AI-powered image and video recognition systems used in facial recognition, healthcare imaging, autonomous vehicles, and surveillance technologies. |
| Business Intelligence Analyst | Interpret business data, create visual reports, identify trends, and help organizations make strategic decisions using analytics and AI tools. |
An MCA in AI & ML is the most sought-after course, and one should choose only the best university to learn from. Here is the list of best universities in India for Online MCA for the specialization.
| Universities | Details |
|---|---|
| Manipal University Jaipur (MUJ) | MUJ is a NAAC A+ accredited university that prepares students for the future workplace with its University Grants Commission (UGC)-enabled online degree, which has also received a Quacquarelli Symonds (QS) ranking |
| Sikkim Manipal University | SMU offers an industry-oriented online MCA in AI & ML, with a curriculum designed to build expertise in artificial intelligence and expert system, machine learning, deep learnings, and other emerging technologies, preparing learners for evolving technology-driven careers. |